Teams improving application and infrastructure visibility
Instrument services, hosts, containers, Kubernetes, databases, logs, browser, mobile, synthetics, deployments, and dependencies.
APM, infrastructure, logs, browser, mobile, synthetics, service levels, alerts, dashboards, OpenTelemetry, and observability operations
New Relic observability services
Rokad implements, rationalises, governs, and operates New Relic across applications, infrastructure, logs, browser, mobile, synthetics, service levels, and incidents.
Platform fit / 01
Designed for teams with a specific platform requirement.
New Relic can connect application performance, infrastructure, logs, browser and mobile experience, synthetic tests, alerts, service levels, and deployment changes. Rokad designs entity and service models, instrumentation, attributes, NRQL, dashboards, alert policies, SLOs, access, data governance, usage, cost, and operating workflows.
Organisations formalising service-level management
Define entities, ownership, SLIs, SLOs, error budgets, burn alerts, runbooks, escalation, incidents, and reporting.
Companies rationalising New Relic data and cost
Control telemetry volume, attributes, logs, retention, sampling, agents, duplicate collection, queries, users, and unused resources.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
Entities and services are not consistently named
Applications, hosts, Kubernetes, logs, browser, deployments, teams, environments, and dependencies cannot be correlated reliably.
Alert policies focus on symptoms without user impact
Thresholds, duplicates, evaluation windows, routing, muting, dependencies, runbooks, and service-level context create noise.
Telemetry is ingested without data governance
Sensitive attributes, log content, high-volume events, duplicate forwarding, retention, access, and cost are not controlled.
Platform capabilities / 03
What Rokad can implement and operate.
01
New Relic organisation, account, entity, agent, integration, user, role, usage, cost, migration, and risk assessment
02
APM agents, distributed tracing, service maps, errors, deployments, profiling, code-level metrics, and OpenTelemetry integration
03
Infrastructure, cloud, Kubernetes, container, database, network, serverless, process, and integration monitoring
04
Log forwarding, parsing, attributes, correlation, sensitive data, routing, retention, access, and duplicate-ingestion control
05
Browser, mobile, frontend, synthetics, API, user journey, availability, and performance monitoring
06
NRQL, dashboards, workloads, alert policies, workflows, service levels, error budgets, incidents, and runbooks
07
Telemetry volume, sampling, attributes, access, cost allocation, automation, support, and managed New Relic operation
Implementation system / 04
The architecture behind a dependable platform delivery.
Entity and service model
Applications, services, hosts, clusters, dependencies, teams, environments, versions, deployments, attributes, and ownership.
Instrumentation and data
Agents, OpenTelemetry, infrastructure, logs, browser, mobile, synthetics, events, attributes, sampling, and correlation.
Detection and service levels
NRQL, dashboards, alert conditions, policies, workflows, SLIs, SLOs, error budgets, runbooks, and escalation.
New Relic governance
Accounts, users, roles, data access, sensitive fields, retention, usage, cost, APIs, automation, support, and lifecycle.
Use cases / 05
Where this platform creates practical leverage.
New Relic full-stack implementation
Instrument applications, infrastructure, Kubernetes, databases, logs, browser, mobile, synthetics, services, dashboards, and alerts.
New Relic APM modernisation
Improve distributed tracing, service relationships, errors, deployments, logs in context, attributes, sampling, and performance investigations.
Service-level and alert programme
Create user-centred SLIs, SLOs, burn alerts, policies, workflows, runbooks, on-call routing, review, and reporting.
New Relic data and cost optimisation
Review agents, events, attributes, logs, duplicate forwarding, browser, synthetics, queries, users, retention, and operational value.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Entity identity is consistent across telemetry
Standardise service, application, environment, version, team, cluster, namespace, host, deployment, and trace attributes.
NRQL becomes a governed analytical interface
Version critical queries, define units and windows, reuse business and service semantics, document ownership, and validate data changes.
Service levels guide alert and release decisions
Use objectives and error budgets to connect user impact, reliability work, capacity, incidents, deployments, and stakeholder reporting.
Quality and governance / 07
Production controls are part of the implementation.
Telemetry with ownership
Metrics, logs, traces, profiles, events, entities, services, teams, environments, and deployments are consistently attributed.
Actionable alerts and objectives
Alerts, SLIs, SLOs, error budgets, escalation, runbooks, maintenance, and incident workflows are designed around user impact.
Controlled telemetry economics
Collection, sampling, cardinality, parsing, indexing, retention, access, sensitive data, and vendor cost are governed deliberately.
Delivery / 08
A controlled path from assessment to operation.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
New Relic entity, agent, integration, telemetry, alert, access, usage, cost, and risk assessment
Service, instrumentation, log, trace, dashboard, alert, SLO, and governance architecture
Production agents, integrations, OpenTelemetry, logs, browser, synthetics, dashboards, and alerts
NRQL libraries, service levels, error budgets, runbooks, workflows, escalation, and incident controls
Attribute, sampling, sensitive data, retention, access, usage, cost, and lifecycle controls
Developer, SRE, operator, security, finance, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
Datadog
Managed infrastructure, APM, logs, user experience, synthetics, SLOs, incidents, and telemetry operations.
02
Grafana
Open or managed metrics, logs, traces, profiles, dashboards, alerts, and telemetry platform engineering.
01
Cloud and DevOps
Cloud architecture, delivery automation, observability, security, reliability, and platform operation.
02
Managed technology services
Ongoing application, cloud, security, reliability, support, and continuous improvement.
03
Software development
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
FAQ
New Relic observability services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad implement New Relic with OpenTelemetry?
Can Rokad implement New Relic with OpenTelemetry?
Yes. We design SDK and collector architecture, resources, attributes, sampling, routing, authentication, correlation, dashboards, alerts, and ownership.
02Can existing New Relic alerts and dashboards be audited?
Can existing New Relic alerts and dashboards be audited?
Yes. We review usage, ownership, stale resources, NRQL, thresholds, windows, routing, context, runbooks, service impact, duplication, and incident outcomes.
03Can Rokad reduce New Relic data ingestion and cost?
Can Rokad reduce New Relic data ingestion and cost?
Yes. We classify telemetry by value and optimise agents, events, attributes, logs, duplicate forwarding, trace sampling, browser, synthetics, retention, and access.
04Can Rokad migrate from Datadog or another platform?
Can Rokad migrate from Datadog or another platform?
Yes. We inventory integrations, instrumentation, telemetry, queries, dashboards, alerts, service levels, users, retention, cost, and incident dependencies before migration.
New Relic · Site reliability engineering
Connect New Relic data to service ownership, user impact, and reliable operating decisions.
Rokad can implement instrumentation, rationalise dashboards and alerts, establish service levels, and control telemetry data and cost.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.